Mac16,13
Geekbench AI Score
4801
Single Precision Score
36935
Half Precision Score
52413
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jrondorf |
| Upload Date | April 21 2025 07:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17504
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25174
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22146
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30250
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9920
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122752
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231202
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
18558
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26783
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4133
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
44209
525.3 IPS |
|
|
Face Detection (Q)
|
100% |
63528
754.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99925
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171923
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21659
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232134
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296659
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50068
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86360
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6294
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6448
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16559
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18390
317.8 IPS |
